Spatial Data Reduction
Spatial Data Reduction is a spatial data processing technique that reduces the volume or complexity of spatial datasets while preserving essential geographic patterns, structures, or analytical utility, distinguishing it from general data reduction methods by explicitly accounting for spatial autocorrelation, scale, and topology.
57
Publications
2.4K
Citations
230
Authors
116
Institutions
Publications per year
2017–2026
23
Parents
57
Two-dimensional distribution of oscillations in a quiescent solar prominence
J. Terradas, Roberto Molowny‐Horas, E. Wiehr et al. · Astronomy and Astrophysics · 2002 · 96 citations · Full text
Natural Sciences, Astronomy, Physics +16
Incorporation of functional status into dose‐volume analysis
Lawrence B. Marks, George W. Sherouse, Michael T. Munley et al. · Medical Physics · 1999 · 85 citations · Full text
1–5 of 57
230
2
h-index
2
h-index
2
h-index
2
h-index
1
h-index
1–5 of 230
116
University College Dublin
Dublin, Ireland
2 h-index
6 publications
78 citations

Kitt Peak National Observatory
Tucson, United States
2 h-index
3 publications
90 citations
University of Illinois Chicago
Chicago, United States
2 h-index
5 publications
498 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
6 publications
168 citations
University of Arizona
Tucson, United States
2 h-index
4 publications
115 citations

University of Toronto
Toronto, Canada
2 h-index
2 publications
59 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
22 citations
The University of Texas at Austin
Austin, United States
1 h-index
2 publications
42 citations
1–8 of 116
3 publications · 86 citations
3
h-index
2 publications · 41 citations
2
h-index
Repository · 2 publications · 24 citations
2
h-index
2 publications · 63 citations
2
h-index
JGR · 2 publications · 95 citations
2
h-index
1–5